(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
DeepSeek V4 Flash vs Gemini 3.5 Flash
Compare DeepSeek V4 Flash from DeepSeek and Gemini 3.5 Flash from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: DeepSeek V4 Flash, Gemini 3.5 Flash?
DeepSeek V4 Flash: $0.284/M output tokens; Gemini 3.5 Flash: $9/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Gemini 3.5 Flash: 1508; DeepSeek V4 Flash: 1483 (LMArena coding leaderboard).
Which responds faster?
DeepSeek V4 Flash: 1.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
DeepSeek V4 Flash accepts 1,000,000 and Gemini 3.5 Flash accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 65,536 tokens on Gemini 3.5 Flash.
Which one generates tokens faster?
Gemini 3.5 Flash at 121.3 tok/s and DeepSeek V4 Flash at 66.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; Gemini 3.5 Flash accepts text, image, video, audio and PDF input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context.
Can I call DeepSeek V4 Flash and Gemini 3.5 Flash with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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